A Fast Algorithm for Image Defogging

摘要：

　　In smoke and haze environment,images acquired by vision create serious distortion or degradation.Obtaining some inaccurate information from an unclear vision,it will have some bad impacts on outdoor activities.More and more common in recent years,the haze phenomena need to be further research.According to the images analysis of the atmospheric degradation model,this article puts forward the improved algorithm based on dark channel prior and morphology.Given the application of He’s algorithm to defog,it makes brightness reduce.Therefore,the article firstly proposes to increase the brightness of image before processing,and then estimates the global atmospheric value,the initial transmission rate and the haze density using morphology method,finally substitutes into the simplified model to get the haze-free image.The experimental results show that the proposed algorithm can recover effectively and quickly degraded images.Meanwhile,this algorithm can keep the detail edges of images.

关键词： Image defogging dark channel atmospheric light morphology

作者: Xiaoyan He Jianxu Mao Zewen Liu Jiujiang Zhou Yajing Hua

作者单位: College of Electrical and Information Engineering,Hunan University,Hunan,China College of Computer Science and Electronic Engineering,Hunan University,Hunan,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 149-158

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）